A complete Series A financial model for PropTech startups. Revenue model, unit economics, hiring plan, cash flow projections, and funding scenarios — structured for investor review.
Projection Horizon
5 years (monthly for Years 1-2, annual for Years 3-5)
Model Tabs
8 core tabs
Format
Excel + Google Sheets
Scalability of the revenue model and efficiency of the go-to-market. Series A investors validate that the growth engine is repeatable and unit economics improve with scale.
PropTech models must include interest rate sensitivity analysis. Most residential transaction volume is correlated with mortgage rates. Show 3 scenarios: current rates, rates +200bps, and rates -200bps. Investors will ask about this immediately.
Transaction volume model driven by market penetration, average transaction size, and take rate. Build a market-by-market cohort model showing unit economics improvement as you establish density in each geography.
Series A models are reviewed by investment committee analysts. Include a data room version with formula audit trail turned on. Avoid hardcoded numbers in cells — every input should flow from the assumption dashboard.
Three scenarios: upside (125% of plan), base (100%), and downside (70%). Include key assumption levers for each scenario and the capital required in each path.
A Series A PropTech financial model should cover 5 years (monthly for Years 1-2, annual for Years 3-5) of projections with these tabs: Executive Summary Model, Revenue Model with Cohorts, Unit Economics Dashboard, Headcount Plan by Department, Departmental P&L, Cash Flow Forecast, Funding Scenarios, Sensitivity Analysis. Scalability of the revenue model and efficiency of the go-to-market. Series A investors validate that the growth engine is repeatable and unit economics improve with scale.
Transaction volume model driven by market penetration, average transaction size, and take rate. Build a market-by-market cohort model showing unit economics improvement as you establish density in each geography. The key revenue drivers are: Transaction count x average transaction value x take rate; Subscription or data service revenue; Marketplace listing or advertising fees; Referral or lead generation revenue.
PropTech unit economics at the Series A stage should include: Revenue per transaction and take rate trend; Transaction acquisition cost (agent, buyer, seller); Contribution margin per transaction after direct costs; Market density metrics (transactions per zip code per month). PropTech models must include interest rate sensitivity analysis. Most residential transaction volume is correlated with mortgage rates. Show 3 scenarios: current rates, rates +200bps, and rates -200bps. Investors will ask about this immediately.
Series A models are reviewed by investment committee analysts. Include a data room version with formula audit trail turned on. Avoid hardcoded numbers in cells — every input should flow from the assumption dashboard. Start with the smallest unit of your business (one customer, one transaction, one seat) and build up from there. Every assumption should have a source or benchmark you can defend in an investor meeting.
Three scenarios: upside (125% of plan), base (100%), and downside (70%). Include key assumption levers for each scenario and the capital required in each path.
Get the PropTech Series A financial model as a pre-built Excel and Google Sheets template. Assumptions dashboard, revenue model, unit economics, and cash flow — ready to customize.
Includes Excel file, Google Sheets version, and model documentation guide